苏德尔特贝16断块兴安岭群复杂岩性识别方法  

Complex Lithologic Identification of Xing'anling Group in Block Bei16,Sudeerte Oilfield

作　　者：陈红丽[1] 肖佃师[2] 

机构地区：[1]东北石油大学现代教育技术中心,大庆163318 [2]东北石油大学地球科学学院,大庆163318

出　　处：《科学技术与工程》2012年第8期1755-1759,共5页Science Technology and Engineering

基　　金：国家自然科学基金(40972101)项目资助

摘　　要：苏德尔特贝16断块兴安岭群为火山碎屑沉积岩和正常沉积岩储层,发育沉凝灰岩、凝灰质砂岩、砂砾岩等10余种岩性,识别难度大,严重制约该区储层评价工作的开展。根据岩心薄片分析、录井及测井资料,对该区兴安岭群储层主要岩性及测井响应特征进行了分析。优选交会图版对主要岩性进行定性识别。运用基于概率统计学理论岩性判别技术对该区复杂岩性进行自动识别,并将判别结果与薄片分析进行对比。结果表明,该方法计算速度快、判别精度高。The Xing＇ anling Group formation of Block Bei16 in Sudeerte Oilfield are made up of the volcaniclastic reservoirs and normal sedimentary rock reservoirs including more than 10 kinds of lithology, such as sedimentary tuff, tuffaceous sandstone and conglomerate, which is difficult to identify, and the reservoirs evaluation job is restricted seriously. From core and slice analysis, the drilling and well logging data, the main lithology and its log response features was discussed, and then using crossplots preferred the main kinds of lithology were identified qualitatively. Probability statistics theory is applied to the complex lithology identification in Block Bei16, and compares the calculates results with the slice analysis. It shows that this method is fast and high identification precision.

关 键 词：兴安岭群 岩性识别 交会图 概率统计法 

分 类 号：TE122.2[石油与天然气工程—油气勘探]